A mixed-binary linear formulation for the distribution system expansion planning problem

Detalhes bibliográficos
Autor(a) principal: Pozos, Alejandra Tabares [UNESP]
Data de Publicação: 2014
Outros Autores: De Oliveira, Marina Lavorato [UNESP], Baquero, Jonh Fredy Franco [UNESP], Flores, Marcos Julio Rider [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/TDC-LA.2014.6955275
http://hdl.handle.net/11449/178333
Resumo: This paper presents a mixed-binary linear programming formulation to solve the problem of radial distribution systems expansion planning. The proposed model considers the alternatives of repowering existing substations, allocation and sizing of new substations, reconductoring of existing feeders, construction and type selection of new feeders and changes in the system topology. The use of a mixed-binary linear model guarantees convergence to optimality using existing optimization software. In the proposed model, the steady-state operation of radial distribution systems is modelled through linear expressions. Two test systems found in the literature were used to show the efficiency of the proposed method.
id UNSP_3952933bd541d3af9804737e28fe22ff
oai_identifier_str oai:repositorio.unesp.br:11449/178333
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling A mixed-binary linear formulation for the distribution system expansion planning problemDistribution systemexpansion planningmixed-binary linear programmingoptimizationThis paper presents a mixed-binary linear programming formulation to solve the problem of radial distribution systems expansion planning. The proposed model considers the alternatives of repowering existing substations, allocation and sizing of new substations, reconductoring of existing feeders, construction and type selection of new feeders and changes in the system topology. The use of a mixed-binary linear model guarantees convergence to optimality using existing optimization software. In the proposed model, the steady-state operation of radial distribution systems is modelled through linear expressions. Two test systems found in the literature were used to show the efficiency of the proposed method.Faculdade de Engenharia de Ilha Solteira Universidade Estadual Paulista UNESPFaculdade de Engenharia de Ilha Solteira Universidade Estadual Paulista UNESPUniversidade Estadual Paulista (Unesp)Pozos, Alejandra Tabares [UNESP]De Oliveira, Marina Lavorato [UNESP]Baquero, Jonh Fredy Franco [UNESP]Flores, Marcos Julio Rider [UNESP]2018-12-11T17:29:49Z2018-12-11T17:29:49Z2014-11-10info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject1-6http://dx.doi.org/10.1109/TDC-LA.2014.69552752014 IEEE PES Transmission and Distribution Conference and Exposition, PES T and D-LA 2014 - Conference Proceedings, v. 2014-October, p. 1-6.http://hdl.handle.net/11449/17833310.1109/TDC-LA.2014.69552752-s2.0-84990946826Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2014 IEEE PES Transmission and Distribution Conference and Exposition, PES T and D-LA 2014 - Conference Proceedingsinfo:eu-repo/semantics/openAccess2024-07-04T19:11:21Zoai:repositorio.unesp.br:11449/178333Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T15:05:08.344174Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv A mixed-binary linear formulation for the distribution system expansion planning problem
title A mixed-binary linear formulation for the distribution system expansion planning problem
spellingShingle A mixed-binary linear formulation for the distribution system expansion planning problem
Pozos, Alejandra Tabares [UNESP]
Distribution system
expansion planning
mixed-binary linear programming
optimization
title_short A mixed-binary linear formulation for the distribution system expansion planning problem
title_full A mixed-binary linear formulation for the distribution system expansion planning problem
title_fullStr A mixed-binary linear formulation for the distribution system expansion planning problem
title_full_unstemmed A mixed-binary linear formulation for the distribution system expansion planning problem
title_sort A mixed-binary linear formulation for the distribution system expansion planning problem
author Pozos, Alejandra Tabares [UNESP]
author_facet Pozos, Alejandra Tabares [UNESP]
De Oliveira, Marina Lavorato [UNESP]
Baquero, Jonh Fredy Franco [UNESP]
Flores, Marcos Julio Rider [UNESP]
author_role author
author2 De Oliveira, Marina Lavorato [UNESP]
Baquero, Jonh Fredy Franco [UNESP]
Flores, Marcos Julio Rider [UNESP]
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Pozos, Alejandra Tabares [UNESP]
De Oliveira, Marina Lavorato [UNESP]
Baquero, Jonh Fredy Franco [UNESP]
Flores, Marcos Julio Rider [UNESP]
dc.subject.por.fl_str_mv Distribution system
expansion planning
mixed-binary linear programming
optimization
topic Distribution system
expansion planning
mixed-binary linear programming
optimization
description This paper presents a mixed-binary linear programming formulation to solve the problem of radial distribution systems expansion planning. The proposed model considers the alternatives of repowering existing substations, allocation and sizing of new substations, reconductoring of existing feeders, construction and type selection of new feeders and changes in the system topology. The use of a mixed-binary linear model guarantees convergence to optimality using existing optimization software. In the proposed model, the steady-state operation of radial distribution systems is modelled through linear expressions. Two test systems found in the literature were used to show the efficiency of the proposed method.
publishDate 2014
dc.date.none.fl_str_mv 2014-11-10
2018-12-11T17:29:49Z
2018-12-11T17:29:49Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1109/TDC-LA.2014.6955275
2014 IEEE PES Transmission and Distribution Conference and Exposition, PES T and D-LA 2014 - Conference Proceedings, v. 2014-October, p. 1-6.
http://hdl.handle.net/11449/178333
10.1109/TDC-LA.2014.6955275
2-s2.0-84990946826
url http://dx.doi.org/10.1109/TDC-LA.2014.6955275
http://hdl.handle.net/11449/178333
identifier_str_mv 2014 IEEE PES Transmission and Distribution Conference and Exposition, PES T and D-LA 2014 - Conference Proceedings, v. 2014-October, p. 1-6.
10.1109/TDC-LA.2014.6955275
2-s2.0-84990946826
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2014 IEEE PES Transmission and Distribution Conference and Exposition, PES T and D-LA 2014 - Conference Proceedings
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 1-6
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1808128457006120960

Registros relacionados